Medical University of Vienna

Full Time 12-month opportunity for a Research Focused academic Exciting opportunity in the field of Endocrinology & Andrology Base Salary $89,831.00 PA + 17% superannuation About the opportunity This role offers an exciting opportunity to contribute to impactful research within the fields of Reproductive Endocrinology and Andrology. As a Research-Focused Academic, you will apply and deepen your expertise to advance the Faculty/School's research agenda, working closely with the leading Professor of Reproductive Endocrinology & Andrology. You will participate in innovative projects that address critical questions in reproductive health, collaborating within a dynamic and supportive research environment. You will work under broad supervision, managing your responsibilities independently while contributing effectively to team-based research. With the autonomy to choose appropriate research methods, you will plan and prioritise your workload to meet project goals and deliver high-quality research outputs. As a subject matter expert, you will act as a key point of contact in your specialist area, providing informed advice and resolving routine matters, while also collaborating with others to navigate more complex issues. This position is ideal for a proactive and motivated researcher who is passionate about advancing knowledge in reproductive science and contributing to meaningful, real-world outcomes. Your key responsibilities will be to: conduct research, scholarly or professional activities independently or as part of a team, contributing to knowledge within the discipline develop and refine independent research skills under the guidance of senior academic staff provide informal mentoring and support to students within the discipline carry out administrative tasks and actively participate in faculty or school meetings contribute to a positive and inclusive workplace culture that values diverse perspectives, collaboration, excellence, and achieving outcomes understand and support the advancement of the university and faculty/school strategic priorities undertake other duties and contribute to projects appropriate to the classification level as required. Selection Criteria: Essential: science degree (BSc or MSc degree or equivalent) in laboratory-based science experience with theory and practice of stereological enumeration of objects in tissue sections experience with laboratory molecular biology methods (DNA/RNA extraction, PCR, genetic/DNA database searching) including method development and troubleshooting willingness to work independently, with guidance, and in a group excellent oral and written communication skills in English strong familiarity with standard computer methods (Word. Excel, PowerPoint), statistical and graphics packages Desirable: experience with rodent handling and surgery experience in other laboratory procedures including organic solvent extraction of steroids from biological fluids experience with electron microscopy Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a university community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Danielle Selinger, Recruitment Consultant by email to danielle.selinger@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 15 March 2026 11:59 PM

The Royal Melbourne Hospital (RMH) is seeking an exceptional Chief Research and Innovation Officer to lead one of Australia’s most dynamic and impactful health research portfolios. As Victoria’s first public hospital and a cornerstone of the Parkville biomedical precinct, the RMH has a proud legacy of advancing health for everyone, every day. Today, with more than 1,400 active research projects spanning laboratory science, translational research, clinical trials, digital innovation and health services improvement, we are poised for the next phase of growth. As such we are looking for a visionary leader to guide it. Reporting directly to the Chief Executive Officer and serving as a key member of the Executive Team, the Chief Research and Innovation Officer will shape and drive a long‑term research and innovation strategy that positions the RMH as a national and international leader. This role oversees a diverse, high‑performing research ecosystem, including laboratory and clinical programs, nursing and allied health research, and the Research Operations Centre. It also offers the unique opportunity for an academic appointment with the University of Melbourne, strengthening the RMH’s significant partnerships across the Parkville precinct. The successful candidate will bring an outstanding international research profile, a strong track record of securing competitive funding, and proven leadership experience within a complex health or research environment. They will champion excellence in clinical trials, research governance and translation, while fostering commercialisation, innovation and entrepreneurial thinking. A key element of this role is representing the RMH to government, universities, research institutes, philanthropic partners and global collaborators, positioning the organisation at the forefront of discovery and impact. The incoming leader will also have the benefit of recommendations from a recent independent research review, providing an evidence‑based roadmap for strengthening the RMH’s future research agenda. This role requires an inspiring leader who embodies The Melbourne Way, putting people first, leading with kindness and achieving excellence together. The Chief Research and Innovation Officer will mentor emerging research leaders, cultivate multidisciplinary collaboration, and build an environment where creativity, curiosity and scientific rigour thrive. They will play a central role in translating research into improved patient outcomes, driving innovation in care, and ensuring the RMH continues to make a profound difference to the health of our community. If you are driven by purpose, excited by possibility and ready to lead research that shapes the future of health, we invite you to join us at one of Australia’s most respected and ambitious public hospitals. Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. For further information and to apply, please submit a CV and covering letter, detailing how you fulfill the role description and personal specification to https://plusportal.perrettlaver.com/VacancyDetail/09c2ec62-93c3-1b8c-e53e-3a1f5dc16951 quoting reference 8239. For a conversation in confidence please contact: Claudia Roth Claudia.Roth@perrettlaver.com The deadline for applications is 9am AEDT, Monday 16th March. If you require any reasonable adjustments to assist you in the selection process, please advise us of these so that we can make appropriate arrangements. Perrett Laver’s Data Protection Policy Protecting your personal data is of the utmost importance to Perrett Laver and we take this responsibility very seriously. Any information obtained by our trading divisions is held and processed in accordance with the relevant data protection legislation. The data you provide us with is securely stored on our computerised database and transferred to our clients for the purposes of presenting you as a candidate and/or considering your suitability for a role you have registered interest in. Perrett Laver is a Data Controller and a Data Processor, and our legal basis for processing your personal data is ‘Legitimate Interests’. You have the right to object to us processing your data in this way. For more information about this, your rights, and our approach to Data Protection and Privacy, please see our Privacy Statement. If you have comments that would support us to improve access to documentation, or our application processes more generally, please do not hesitate to contact us via accessibility@perrettlaver.com.

Scope of Position: Duke-NUS Medical School invites applications for a full-time Assistant/Associate Professor in AI for Medical Education within the Office of Education. This innovative role will apply Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, while also contributing to curriculum development that prepares future physicians to practice effectively in an AI-enhanced healthcare environment. Working in close partnership with MD curriculum leadership, teams, faculty, administrators, and students, the successful applicant will co-lead and support initiatives to develop and integrate AI-powered educational tools across our MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. This position represents a unique opportunity to shape the future of medical education at the intersection of technology and healthcare. The successful applicant will be eligible for faculty appointment at the Assistant Professor or Associate Professor level at Duke-NUS; rank will be commensurate with experience, achievement and recognition. The postholder will collaborate with clinician educators and scientists across all health professions and disciplines in the SingHealth Duke-NUS Academic Medical Centre. Roles and Responsibilities: Partner with curriculum teams to design, implement, and evaluate AI-powered educational tools such as intelligent tutoring systems, adaptive learning platforms, virtual patient simulations, etc Develop AI applications for personalized learning experiences that respond to individual student needs and learning patterns Support the development and deployment of AI-driven assessment systems that provide automated feedback, performance analytics, and competency evaluation Conduct original research on the effectiveness of AI applications in medical education Publish findings in peer-reviewed journals and present at national and international conferences Secure internal and external funding to support AI-driven educational innovation projects Collaborate with Education and IT teams to support learning analytics and educational data management throughout the School Contribute to the development and delivery of AI literacy curriculum for medical students Conduct workshops and training sessions for faculty on both using AI tools and teaching about AI Mentor students, health care educators and investigators interested in Artificial Intelligence for medical education Participate in the general teaching, service and administrative responsibilities of the Office of Education as determined by their Reporting Officer Develop strong working relationships with collaborators both within Duke-NUS and the wider SingHealth Duke-NUS Academic Medical Centre Appropriate duties as assigned by reporting officer Requirements Education: Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field Postdoctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or other relevant area is desirable but not essential   Technical Expertise: Demonstrated expertise in Artificial Intelligence and Machine Learning methods and their practical application Strong programming skills (Python, R, or similar languages) used in AI and data science development Experience developing, training, and deploying AI/ML models using modern frameworks and tools.   Knowledge of relevant AI domains such as Natural Language Processing, Computer Vision, and/or multimodal learning Familiarity with learning analytics, data management and educational/healthcare data environments Understanding of learning management systems or digital learning platforms is advantageous Experience: Minimum 3 years of experience in the development and practical use of AI/ML applications in educational contexts, healthcare settings or other relevant domains Experience with learning analytics and educational data mining Experience with human-centred design and user experience research Demonstrable commitment to research and scholarship. For example, research productivity, preferably in a higher education institute, healthcare organization or medical education setting; grant funded research as Principal Investigator or lead; peer reviewed research publications; visiting appointments; advisory roles; consultancy; other evidence of scholarly activities; knowledge creation, synthesis, application and dissemination Competencies: Knowledge of ethical considerations in AI, including bias, fairness, and privacy Exceptional time management, organizational skills and the ability to work on multiple projects simultaneously and meet project deadlines Accessible, calm, flexible, and mature individual with superlative interpersonal skills that permit him/her to work independently as well as in a team environment, to establish credibility with staff at all levels and of different disciplines and backgrounds, and to be persuasive in both one-to-one and group settings Commitment to maintain confidentiality and exercise discretion in sharing of information. Excellent written and verbal communication and presentation skills with ability to explain technical concepts to non-technical audiences Ability to translate Artificial Intelligence / Machine Learning techniques and Data Analytics approaches to medical education and practice Ability to mentor students and faculty in scholarship within the domain of Artificial Intelligence for medical education All applications including a letter of interest and a curriculum vitae should be submitted online. Informal enquiries are welcome and should be directed to Prof Fernando Bello (f.bello@duke-nus.edu.sg). We regret that only shortlisted candidates will be notified